Evidence map›Paper›PMID 42364187›Full record

ArticleFlorence Nightingale journal of nursing2026

Evidence-Based Intervention for Sleep Deprivation in the Intensive Care Unit: A Clinical Review.

Julie Joseph

Abstract read
In one paragraph

Article in Florence Nightingale journal of nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Julie JosephTexas Woman's University, College of Nursing, Denton, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep disturbances affect 47-60% of intensive care unit (ICU) patients and often persist after discharge, contributing to adverse outcomes such as prolonged recovery, increased delirium risk, and higher mortality. Sleep assessment in ICU settings is complex; although polysomnography is the gold standard, its practical limitations restrict its use. Consequently, subjective tools like the Richards-Campbell Sleep Questionnaire are widely used for bedside evaluation, while objective methods such as actigraphy and bispectral index monitoring are gaining acceptance. Interventions to improve sleep quality include nonpharmacological approaches such as eye masks, earplugs, massage, and environmental modifications, as well as pharmacological treatments, with dexmedetomidine showing potential benefits in specific ICU populations. Multicomponent sleep-hygiene bundles combining environmental, behavioral, and pharmacological strategies demonstrate the greatest effectiveness. Implementation often follows a phased approach that addresses both ventilated and non-ventilated patients, with nursing staff playing a central role. Evaluation metrics encompass subjective assessments (RCSQ), objective monitoring (BIS), and clinical outcomes, including delirium incidence, mechanical ventilation duration, and ICU length of stay. Evidence indicates that sleep-hygiene bundles can reduce delirium incidence by 30-50% and shorten ICU stays by approximately 1.2 days. Nevertheless, challenges such as staff resistance and resource limitations impede widespread adoption, underscoring the need for tailored implementation strategies to optimize sleep management in critical care environments. Cite this article as: Joseph, J. (2026). Evidence-based intervention for sleep deprivation in the intensive care unit: A clinical review. Florence Nightingale Journal of Nursing, 34, 0577, doi: 10.5152/FNJN.2026.25577.

Identifiers

PMID42364187
PMCPMC13340415

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.